Alternatives

Products that do what joplot does

Instant charts from CSV files. No signup. No coding.

1
Autoplot▲97
Unify data analysis and plotting in one powerful workspace
Jul 2026 · autoplot.ai
2TV
Tidy Viewer – a cross-platform CSV pretty printer for viewer enjoyment▲392
2021 · github.com
3FC
Frappe Charts – GitHub inspired JavaScript charting with zero dependencies▲474
2017 · frappe.github.io
4XS
X-spreadsheet – A JavaScript canvas spreadsheet for web▲347
2019 · github.com
5
Graphy for Data Storytelling▲759
Create pro-level graphs that drive actions
2024 · graphy.app
6
Free chart generator by Embedful▲102
Turn CSV & Excel files into charts in seconds
Apr 2026 · embedful.io
7
Chart.js 2.0▲441
Simple, clean & engaging charts for designers & developers.
2016
8VO
Visprex – Open-source, in-browser data visualisation tool for CSV files▲194
Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!
2024 · docs.visprex.com
9
Chart.js 4.0▲111
Open source JavaScript charting library for the modern web
2022
10
Graphy 3.0 ▲267
From messy data to graphs with a story in seconds.
2025
11
CSV Plot▲6
Turn Your CSV Data into Insights in Seconds.
Jan 2026
12CW
ChartGPU – WebGPU-powered charting library (1M points at 60fps)▲670
Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…
Jan 2026 · github.com
13
CanvasJS Charts v2▲209
Responsive HTML5 charts with 10x performance
2017
14
Explore by Charts.com▲217
Free chart maker & visual exploration for spreadsheet data
2020
15
OpenSheet▲86
Turn raw CSV and JSON into an interactive data canvas
Feb 2026
16
InstaCharts▲212
Create charts from your data instantly
2024
17
Reports for Notion▲520
Interactive charts and tables embedded into Notion.so pages
2020
18CX
Chart.xkcd – Xkcd-styled chart library▲435
2019 · github.com
19
Plottable.js▲132
Flexible, interactive charts for the web.
2016
20UA
Ultraplot – A succint wrapper for matplotlib▲34
Sep 2025 · github.com
21
Plot.ly▲74
Analyze and visualize data, together.
2014
22PI
Parabola.io – Automate your work with visual programming▲291
Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io
23
The Analysis tool in Claude.ai▲260
Analyzing and visualizing data from CSV files
2025
24
Plotiq▲7
Turn CSVs into charts instantly - no setup.
Mar 2026

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